Senior Analytics Engineer

📋 Description

• Data Platform Development: Design, build, and manage scalable data pipelines.
• Cross-functional Collaboration: Partner with AI analysts, ML scientists, and engineers.
• Data Strategy & Governance: Lead data models, quality, and warehouse management.
• Advanced Analytics & Insights: Build models and analyze data to inform decisions.
• Automation & Optimization: Streamline data collection and reporting to improve efficiency.
• Innovation in Data Infrastructure: Create scalable data pipelines and access control solutions.

🎯 Requirements

• You write advanced SQL with well-architected models, optimized queries, and clear documentation.
• Familiar with the modern data stack; dbt and Snowflake experience are a plus.
• Growth mindset and eagerness to learn.
• Strong judgment and business instincts to differentiate essential vs nice-to-have trade-offs.
• Excellent communication; tailor explanations to diverse audiences.

🎁 Benefits

• Hybrid working policy with in-office at least 3 days/week.
• Core values and Equal Employment Opportunity commitment.